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Development and Application of a Vertical-Agnostic Methodological Assessment Framework for Evaluation of 5G-Based Use Cases

Electronics, vol. 14, pp. 4771

Abstract

This paper addresses the industrial adoption gap of 5G/6G by presenting a novel, vertical-agnostic Methodological Assessment Framework (MAF). The MAF bridges the Network Key Performance Indicators (KPI) of 5G networks with user-centric User-KPIs and User-KVIs (Key Value Indicators) to quantify the techno-economic and societal value propositions of industrial 5G use cases from an end-user perspective. First, a detailed description of the MAF and its underlying principles is given, explaining how a use case’s value proposition can be captured. Second, the MAF is applied to three different industrial use cases from the verticals manufacturing, construction, and automotive utilizing the individual User-KPI and User-KVI for the quantification of the individual value propositions. The results show that the use of 5G can lead to enhanced process capability and reproducibility as well as increased insights into different processes. In addition, it is shown that the MAF objectively quantifies user value across diverse verticals and is able to strengthen interdisciplinary alignment over different verticals.

Authors 7

  1. Fraunhofer Institute for Production Technology IPT

    Affiliation as printed

    Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany

  2. Fraunhofer Institute for Production Technology IPT

    Affiliation as printed

    Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany

  3. Fraunhofer Institute for Production Technology IPT

    Affiliation as printed

    Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany

  4. Fraunhofer Institute for Production Technology IPT

    Affiliation as printed

    Fraunhofer Institute for Production Technology IPT, 52074 Aachen, Germany

  5. Affiliation as printed

    Construction Robotics GmbH, 52074 Aachen, Germany

  6. RWTH Aachen University

    Affiliation as printed

    Chair for Individualized Production (IP), RWTH Aachen University, 52074 Aachen, Germany

    Construction Robotics GmbH, 52074 Aachen, Germany

  7. i2CAT

    Affiliation as printed

    i2CAT Foundation, 08034 Barcelona, Spain

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References 26